Highspot

Sr. Backend Engineer, EcoSystem Platform

Highspot • CA
Hybrid
About Highspot
Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work – it’s about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world.

About The Role
Come help us build the next generation platform that will power Highspot’s vision for intelligent, agentic workflows—where software doesn’t just respond to users, but collaborates with them. As a Senior Backend Engineer, you’ll help architect the infrastructure behind Highspot’s Model-Context-Prompt (MCP) capabilities, enabling AI agents to take meaningful action in real-time business scenarios.

This role goes beyond traditional backend development. You’ll design systems that provide agents with access to contextual data, enable them to reason over business logic, and securely act on behalf of users. That means building scalable services that power prompt orchestration, agent memory, contextual APIs, and decision workflows—integrated deeply with Highspot’s platform data.

Your work will lay the foundation for a new generation of features: agents that generate content, automate decisions, summarize activity, and drive insights—all grounded in customer-specific context and permissioning models. You’ll collaborate across engineering, product, and ML teams to ensure our platform can support adaptive, safe, and extensible AI behavior at scale. While we don’t expect you to be an expert in all of these technologies, some of the languages and tools we use to build Highspot include Ruby, MongoDB, PostgreSQL, React , Next.js , Solr, AWS, Docker, Kafka and Kubernetes.

What You'll Do

  • Develop product features and a platform with the highest quality. Define and meet scalability, uptime, performance, and security goals
  • Leads by example and mentors others to produce extensible and maintainable code used across products.
  • Partner cross-functionally with UX and Product Management to create the best software possible
  • Take on the role of a technology leader in our most challenging cross-functional projects
  • Support the professional growth of others by actively mentoring individuals
  • Leverage your extensive knowledge and experience to exert technical influence over multiple teams, enhancing their productivity and effectiveness through sharing
  • Resolve major customer technical issues in production, and contribute to internal and external technical documentation
  • Set technical strategy and oversee the development of high-scale, reliable infrastructure systems.
  • Work across many of Highspot partners and their EcoSystems
  • Design processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice
  • Your Background

  • Have 8+ years of relevant industry experience, 3+ years leading large-scale, complex projects or teams as an engineer or tech lead
  • Are obsessed with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement
  • Strong problem-solving skills and the ability to work independently
  • Have a passion for supporting internal partners, like research, to understand their needs
  • Have excellent communication skills to build consensus with stakeholders, both internally and externally
  • Possess deep knowledge of modern cloud infrastructure, including Kubernetes, Kafka, AWS, and Azure
  • Strong Candidates May Also

  • Have expertise in Ruby
  • Have built scalable ML systems in a cost-effective way and built MCP servers
  • Technical expertise: Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems